Data Engineer | ClimateTech - Greenfield | Up to £70,000 Equity

We’ve partnered exclusively with an early-stage ClimateTech venture tackling one of the world’s most urgent conservation challenges. This is a true greenfield opportunity where your engineering will have tangible, global impact.

In this Data Engineer role, you will contribute across the full data stack from ingestion through to analytics, building and maintaining scalable pipelines across API, streaming, and batch processes. You will support the management of cloud infrastructure on AWS with a DevOps mindset, including CI/CD, infrastructure as code, monitoring, and scaling. You’ll help shape how data powers core products, working across ingestion, transformation, and machine learning initiatives.

As a Data Engineer working closely with engineering and product teams, you will deliver data solutions for analytics, internal tools, and AI models, while establishing and maintaining best practices for data governance, security, and reliability.

• Contribute across the full data stack from ingestion through analytics, building and maintaining scalable pipelines across API, streaming, and batch processes.
• Support management of cloud infrastructure on AWS with a DevOps mindset, including CI/CD, infrastructure as code, monitoring, and scaling.
• Help shape how data powers core products, working across ingestion, transformation, and machine learning initiatives.
• Deliver data solutions for analytics, internal tools, and AI models; establish and maintain best practices for data governance, security, and reliability.

• 3 years Data Engineer experience building and maintaining data pipelines and cloud-based systems.
• Practical experience using Fivetran or similar modern data integration tools.
• Strong working knowledge of Python (including PySpark), SQL, and dbt or an equivalent transformation framework.
• A solid grounding in cloud infrastructure, including AWS, CI/CD workflows, and general DevOps principles.
• Proven experience working with data warehouses such as PostgreSQL or comparable technologies.
• Exposure to event streaming tools (Kafka, Kinesis, or Pub/Sub) is an added advantage.
• A track record of developing scalable, efficient data systems in dynamic, fast-paced settings.

• Genuine equity with meaningful upside as the company grows.
• Real autonomy to make decisions and shape a high-impact product from the ground up.
• Flexible hybrid setup — typically 1-2 days a week in the central London office, with adaptable hours to suit your routine.
• A collaborative, inclusive culture that values diverse perspectives and creative problem-solving.
• The opportunity to build and scale a purpose-driven data platform from early MVP through global adoption.

If you’re passionate about applying data engineering to solve global problems for future generations, this is your chance to join an early-stage team with purpose and global ambition.

We encourage applicants from all backgrounds, so if there is anything we can do to make our recruitment processes better for you and to allow you to show your best self, let us know. We also understand that some people require extra time to complete assessments, require alternative application methods and can also benefit from having interview questions or a guide to the type of questions pre-interview. We are open to any suggestions or requests that you may have and are always looking for creative ways to assess talent. Our commitment to you is that you should always feel safe and secure when you’re working with us.